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Swin-Tiny

Image Classification
PyTorch
backbone
bu_auto
android
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v0.61.0

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See https://github.com/qualcomm/ai-hub-models/releases/v0.61.0 for changelog.

Files changed (2) hide show
  1. README.md +87 -86
  2. release_assets.json +6 -6
README.md CHANGED
@@ -1,6 +1,6 @@
1
  ---
2
  library_name: pytorch
3
- license: other
4
  tags:
5
  - backbone
6
  - bu_auto
@@ -16,7 +16,7 @@ pipeline_tag: image-classification
16
  SwinTiny is a machine learning model that can classify images from the Imagenet dataset. It can also be used as a backbone in building more complex models for specific use cases.
17
 
18
  This is based on the implementation of Swin-Tiny found [here](https://github.com/pytorch/vision/blob/main/torchvision/models/swin_transformer.py).
19
- This repository contains pre-exported model files optimized for Qualcomm® devices. You can use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.60.0/src/qai_hub_models/models/swin_tiny) library to export with custom configurations. More details on model performance across various devices, can be found [here](#performance-summary).
20
 
21
  Qualcomm AI Hub Models uses [Qualcomm AI Hub Workbench](https://workbench.aihub.qualcomm.com) to compile, profile, and evaluate this model. [Sign up](https://myaccount.qualcomm.com/signup) to run these models on a hosted Qualcomm® device.
22
 
@@ -29,25 +29,25 @@ Below are pre-exported model assets ready for deployment.
29
 
30
  | Runtime | Precision | Chipset | SDK Versions | Download |
31
  |---|---|---|---|---|
32
- | ONNX | float | Universal | QAIRT 2.45, ONNX Runtime 1.27.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/swin_tiny/releases/v0.60.0/swin_tiny-onnx-float.zip)
33
- | ONNX | w8a16 | Universal | QAIRT 2.45, ONNX Runtime 1.27.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/swin_tiny/releases/v0.60.0/swin_tiny-onnx-w8a16.zip)
34
- | QNN_DLC | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/swin_tiny/releases/v0.60.0/swin_tiny-qnn_dlc-float.zip)
35
- | QNN_DLC | w8a16 | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/swin_tiny/releases/v0.60.0/swin_tiny-qnn_dlc-w8a16.zip)
36
- | TFLITE | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/swin_tiny/releases/v0.60.0/swin_tiny-tflite-float.zip)
37
 
38
  For more device-specific assets and performance metrics, visit **[Swin-Tiny on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/swin_tiny)**.
39
 
40
 
41
  ### Option 2: Export with Custom Configurations
42
 
43
- Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.60.0/src/qai_hub_models/models/swin_tiny) Python library to compile and export the model with your own:
44
  - Custom weights (e.g., fine-tuned checkpoints)
45
  - Custom input shapes
46
  - Target device and runtime configurations
47
 
48
  This option is ideal if you need to customize the model beyond the default configuration provided here.
49
 
50
- See our repository for [Swin-Tiny on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.60.0/src/qai_hub_models/models/swin_tiny) for usage instructions.
51
 
52
  ## Model Details
53
 
@@ -63,84 +63,85 @@ See our repository for [Swin-Tiny on GitHub](https://github.com/qualcomm/ai-hub-
63
  ## Performance Summary
64
  | Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
65
  |---|---|---|---|---|---|---
66
- | Swin-Tiny | ONNX | float | Snapdragon® X2 Elite | 3.949 ms | 2 - 2 MB | NPU
67
- | Swin-Tiny | ONNX | float | Snapdragon® X Elite | 9.433 ms | 57 - 57 MB | NPU
68
- | Swin-Tiny | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 5.958 ms | 0 - 266 MB | NPU
69
- | Swin-Tiny | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 13.851 ms | 0 - 254 MB | NPU
70
- | Swin-Tiny | ONNX | float | Qualcomm® Dragonwing™ IQ-8275 | 8.918 ms | 0 - 4 MB | NPU
71
- | Swin-Tiny | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 8.958 ms | 0 - 67 MB | NPU
72
- | Swin-Tiny | ONNX | float | Qualcomm® QCS8450 | 13.851 ms | 0 - 254 MB | NPU
73
- | Swin-Tiny | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 9.907 ms | 0 - 4 MB | NPU
74
- | Swin-Tiny | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 9.433 ms | 57 - 57 MB | NPU
75
- | Swin-Tiny | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 4.478 ms | 0 - 442 MB | NPU
76
- | Swin-Tiny | ONNX | float | Snapdragon® 8 Elite Mobile | 4.478 ms | 0 - 442 MB | NPU
77
- | Swin-Tiny | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 3.695 ms | 0 - 447 MB | NPU
78
- | Swin-Tiny | ONNX | w8a16 | Snapdragon® X2 Elite | 3.466 ms | 1 - 1 MB | NPU
79
- | Swin-Tiny | ONNX | w8a16 | Snapdragon® X Elite | 8.256 ms | 31 - 31 MB | NPU
80
- | Swin-Tiny | ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 5.147 ms | 0 - 334 MB | NPU
81
- | Swin-Tiny | ONNX | w8a16 | Snapdragon® 8 Gen 1 Mobile | 9.666 ms | 1 - 276 MB | NPU
82
- | Swin-Tiny | ONNX | w8a16 | Qualcomm® Dragonwing™ QCS6490 | 25.092 ms | 0 - 3 MB | NPU
83
- | Swin-Tiny | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-8275 | 7.063 ms | 0 - 4 MB | NPU
84
- | Swin-Tiny | ONNX | w8a16 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 7.811 ms | 0 - 5 MB | NPU
85
- | Swin-Tiny | ONNX | w8a16 | Qualcomm® QCS8450 | 9.666 ms | 1 - 276 MB | NPU
86
  | Swin-Tiny | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-9075 | 8.14 ms | 0 - 3 MB | NPU
87
- | Swin-Tiny | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-X7181 | 8.256 ms | 31 - 31 MB | NPU
88
- | Swin-Tiny | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-6690 | 36.081 ms | 0 - 385 MB | NPU
89
- | Swin-Tiny | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-7790 | 8.221 ms | 0 - 235 MB | NPU
90
- | Swin-Tiny | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-8750 | 3.986 ms | 0 - 265 MB | NPU
91
- | Swin-Tiny | ONNX | w8a16 | Snapdragon® 8 Elite Mobile | 3.986 ms | 0 - 265 MB | NPU
92
- | Swin-Tiny | ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 3.265 ms | 0 - 273 MB | NPU
93
- | Swin-Tiny | ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 8.221 ms | 0 - 235 MB | NPU
94
- | Swin-Tiny | QNN_DLC | float | Snapdragon® X2 Elite | 4.282 ms | 1 - 1 MB | NPU
95
- | Swin-Tiny | QNN_DLC | float | Snapdragon® X Elite | 9.879 ms | 1 - 1 MB | NPU
96
- | Swin-Tiny | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 5.938 ms | 0 - 246 MB | NPU
97
- | Swin-Tiny | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 14.483 ms | 0 - 240 MB | NPU
98
- | Swin-Tiny | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 9.01 ms | 1 - 4 MB | NPU
99
- | Swin-Tiny | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 21.25 ms | 1 - 176 MB | NPU
100
- | Swin-Tiny | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 9.097 ms | 1 - 4 MB | NPU
101
- | Swin-Tiny | QNN_DLC | float | Qualcomm® SA8775P | 10.422 ms | 1 - 435 MB | NPU
102
- | Swin-Tiny | QNN_DLC | float | Qualcomm® SA8650P | 10.422 ms | 1 - 435 MB | NPU
103
- | Swin-Tiny | QNN_DLC | float | Qualcomm® SA8255P | 10.422 ms | 1 - 435 MB | NPU
104
- | Swin-Tiny | QNN_DLC | float | Qualcomm® QCS8450 | 14.483 ms | 0 - 240 MB | NPU
105
- | Swin-Tiny | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 10.272 ms | 1 - 3 MB | NPU
106
- | Swin-Tiny | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 9.879 ms | 1 - 1 MB | NPU
107
- | Swin-Tiny | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 4.517 ms | 0 - 415 MB | NPU
108
- | Swin-Tiny | QNN_DLC | float | Qualcomm® SA7255P | 21.25 ms | 1 - 176 MB | NPU
109
- | Swin-Tiny | QNN_DLC | float | Snapdragon® 8 Elite Mobile | 4.517 ms | 0 - 415 MB | NPU
110
- | Swin-Tiny | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 3.776 ms | 1 - 415 MB | NPU
111
- | Swin-Tiny | QNN_DLC | w8a16 | Snapdragon® X2 Elite | 4.419 ms | 0 - 0 MB | NPU
112
- | Swin-Tiny | QNN_DLC | w8a16 | Snapdragon® X Elite | 10.92 ms | 0 - 0 MB | NPU
113
- | Swin-Tiny | QNN_DLC | w8a16 | Snapdragon® 8 Gen 3 Mobile | 6.639 ms | 0 - 509 MB | NPU
114
- | Swin-Tiny | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-8275 | 8.822 ms | 0 - 3 MB | NPU
115
- | Swin-Tiny | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-8275 | 17.777 ms | 0 - 436 MB | NPU
116
- | Swin-Tiny | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 10.006 ms | 0 - 17 MB | NPU
117
- | Swin-Tiny | QNN_DLC | w8a16 | Qualcomm® SA8775P | 10.657 ms | 0 - 443 MB | NPU
118
- | Swin-Tiny | QNN_DLC | w8a16 | Qualcomm® SA8650P | 10.657 ms | 0 - 443 MB | NPU
119
- | Swin-Tiny | QNN_DLC | w8a16 | Qualcomm® SA8255P | 10.657 ms | 0 - 443 MB | NPU
120
- | Swin-Tiny | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-9075 | 10.507 ms | 2 - 4 MB | NPU
121
- | Swin-Tiny | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-X7181 | 10.92 ms | 0 - 0 MB | NPU
122
- | Swin-Tiny | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-6690 | 42.876 ms | 0 - 430 MB | NPU
123
- | Swin-Tiny | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-7790 | 10.596 ms | 0 - 435 MB | NPU
124
- | Swin-Tiny | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-8750 | 4.881 ms | 0 - 431 MB | NPU
125
- | Swin-Tiny | QNN_DLC | w8a16 | Qualcomm® SA7255P | 17.777 ms | 0 - 436 MB | NPU
126
- | Swin-Tiny | QNN_DLC | w8a16 | Snapdragon® 8 Elite Mobile | 4.881 ms | 0 - 431 MB | NPU
127
- | Swin-Tiny | QNN_DLC | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 3.894 ms | 0 - 440 MB | NPU
128
- | Swin-Tiny | QNN_DLC | w8a16 | Snapdragon® 7 Gen 4 Mobile | 10.596 ms | 0 - 435 MB | NPU
129
- | Swin-Tiny | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 6.062 ms | 0 - 263 MB | NPU
130
- | Swin-Tiny | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 14.322 ms | 0 - 257 MB | NPU
131
- | Swin-Tiny | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 9.054 ms | 0 - 61 MB | NPU
132
- | Swin-Tiny | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 21.206 ms | 0 - 199 MB | NPU
133
- | Swin-Tiny | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 9.253 ms | 0 - 3 MB | NPU
134
- | Swin-Tiny | TFLITE | float | Qualcomm® SA8775P | 10.368 ms | 0 - 200 MB | NPU
135
- | Swin-Tiny | TFLITE | float | Qualcomm® SA8650P | 10.368 ms | 0 - 200 MB | NPU
136
- | Swin-Tiny | TFLITE | float | Qualcomm® SA8255P | 10.368 ms | 0 - 200 MB | NPU
137
- | Swin-Tiny | TFLITE | float | Qualcomm® QCS8450 | 14.322 ms | 0 - 257 MB | NPU
138
- | Swin-Tiny | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 10.152 ms | 0 - 60 MB | NPU
139
- | Swin-Tiny | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 4.634 ms | 0 - 200 MB | NPU
140
- | Swin-Tiny | TFLITE | float | Qualcomm® SA7255P | 21.206 ms | 0 - 199 MB | NPU
141
- | Swin-Tiny | TFLITE | float | Qualcomm® SA8295P | 13.881 ms | 0 - 199 MB | NPU
142
- | Swin-Tiny | TFLITE | float | Snapdragon® 8 Elite Mobile | 4.634 ms | 0 - 200 MB | NPU
143
- | Swin-Tiny | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 3.837 ms | 0 - 215 MB | NPU
 
144
 
145
  ## License
146
  * The license for the original implementation of Swin-Tiny can be found
 
1
  ---
2
  library_name: pytorch
3
+ license: bsd-3-clause
4
  tags:
5
  - backbone
6
  - bu_auto
 
16
  SwinTiny is a machine learning model that can classify images from the Imagenet dataset. It can also be used as a backbone in building more complex models for specific use cases.
17
 
18
  This is based on the implementation of Swin-Tiny found [here](https://github.com/pytorch/vision/blob/main/torchvision/models/swin_transformer.py).
19
+ This repository contains pre-exported model files optimized for Qualcomm® devices. You can use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.61.0/src/qai_hub_models/models/swin_tiny) library to export with custom configurations. More details on model performance across various devices, can be found [here](#performance-summary).
20
 
21
  Qualcomm AI Hub Models uses [Qualcomm AI Hub Workbench](https://workbench.aihub.qualcomm.com) to compile, profile, and evaluate this model. [Sign up](https://myaccount.qualcomm.com/signup) to run these models on a hosted Qualcomm® device.
22
 
 
29
 
30
  | Runtime | Precision | Chipset | SDK Versions | Download |
31
  |---|---|---|---|---|
32
+ | ONNX | float | Universal | QAIRT 2.45, ONNX Runtime 1.27.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/swin_tiny/releases/v0.61.0/swin_tiny-onnx-float.zip)
33
+ | ONNX | w8a16 | Universal | QAIRT 2.45, ONNX Runtime 1.27.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/swin_tiny/releases/v0.61.0/swin_tiny-onnx-w8a16.zip)
34
+ | QNN_DLC | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/swin_tiny/releases/v0.61.0/swin_tiny-qnn_dlc-float.zip)
35
+ | QNN_DLC | w8a16 | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/swin_tiny/releases/v0.61.0/swin_tiny-qnn_dlc-w8a16.zip)
36
+ | TFLITE | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/swin_tiny/releases/v0.61.0/swin_tiny-tflite-float.zip)
37
 
38
  For more device-specific assets and performance metrics, visit **[Swin-Tiny on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/swin_tiny)**.
39
 
40
 
41
  ### Option 2: Export with Custom Configurations
42
 
43
+ Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.61.0/src/qai_hub_models/models/swin_tiny) Python library to compile and export the model with your own:
44
  - Custom weights (e.g., fine-tuned checkpoints)
45
  - Custom input shapes
46
  - Target device and runtime configurations
47
 
48
  This option is ideal if you need to customize the model beyond the default configuration provided here.
49
 
50
+ See our repository for [Swin-Tiny on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.61.0/src/qai_hub_models/models/swin_tiny) for usage instructions.
51
 
52
  ## Model Details
53
 
 
63
  ## Performance Summary
64
  | Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
65
  |---|---|---|---|---|---|---
66
+ | Swin-Tiny | ONNX | float | Snapdragon® X2 Elite | 3.936 ms | 2 - 2 MB | NPU
67
+ | Swin-Tiny | ONNX | float | Snapdragon® X Elite | 9.486 ms | 58 - 58 MB | NPU
68
+ | Swin-Tiny | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 5.925 ms | 0 - 264 MB | NPU
69
+ | Swin-Tiny | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 13.826 ms | 1 - 257 MB | NPU
70
+ | Swin-Tiny | ONNX | float | Qualcomm® Dragonwing™ IQ-8275 | 8.913 ms | 0 - 4 MB | NPU
71
+ | Swin-Tiny | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 8.922 ms | 0 - 65 MB | NPU
72
+ | Swin-Tiny | ONNX | float | Qualcomm® QCS8450 | 13.826 ms | 1 - 257 MB | NPU
73
+ | Swin-Tiny | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 13.989 ms | 1 - 4 MB | NPU
74
+ | Swin-Tiny | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 9.486 ms | 58 - 58 MB | NPU
75
+ | Swin-Tiny | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 4.502 ms | 0 - 442 MB | NPU
76
+ | Swin-Tiny | ONNX | float | Snapdragon® 8 Elite Mobile | 4.502 ms | 0 - 442 MB | NPU
77
+ | Swin-Tiny | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 3.692 ms | 0 - 448 MB | NPU
78
+ | Swin-Tiny | ONNX | w8a16 | Snapdragon® X2 Elite | 3.469 ms | 1 - 1 MB | NPU
79
+ | Swin-Tiny | ONNX | w8a16 | Snapdragon® X Elite | 8.226 ms | 31 - 31 MB | NPU
80
+ | Swin-Tiny | ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 5.166 ms | 0 - 332 MB | NPU
81
+ | Swin-Tiny | ONNX | w8a16 | Snapdragon® 8 Gen 1 Mobile | 9.717 ms | 0 - 278 MB | NPU
82
+ | Swin-Tiny | ONNX | w8a16 | Qualcomm® Dragonwing™ QCS6490 | 25.198 ms | 0 - 3 MB | NPU
83
+ | Swin-Tiny | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-8275 | 7.08 ms | 0 - 4 MB | NPU
84
+ | Swin-Tiny | ONNX | w8a16 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 7.838 ms | 0 - 35 MB | NPU
85
+ | Swin-Tiny | ONNX | w8a16 | Qualcomm® QCS8450 | 9.717 ms | 0 - 278 MB | NPU
86
  | Swin-Tiny | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-9075 | 8.14 ms | 0 - 3 MB | NPU
87
+ | Swin-Tiny | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-X7181 | 8.226 ms | 31 - 31 MB | NPU
88
+ | Swin-Tiny | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-6690 | 35.581 ms | 2 - 394 MB | NPU
89
+ | Swin-Tiny | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-7790 | 8.25 ms | 0 - 235 MB | NPU
90
+ | Swin-Tiny | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-8750 | 3.981 ms | 0 - 265 MB | NPU
91
+ | Swin-Tiny | ONNX | w8a16 | Snapdragon® 8 Elite Mobile | 3.981 ms | 0 - 265 MB | NPU
92
+ | Swin-Tiny | ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 3.266 ms | 0 - 273 MB | NPU
93
+ | Swin-Tiny | ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 8.25 ms | 0 - 235 MB | NPU
94
+ | Swin-Tiny | QNN_DLC | float | Snapdragon® X2 Elite | 4.267 ms | 1 - 1 MB | NPU
95
+ | Swin-Tiny | QNN_DLC | float | Snapdragon® X Elite | 9.856 ms | 1 - 1 MB | NPU
96
+ | Swin-Tiny | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 5.96 ms | 0 - 246 MB | NPU
97
+ | Swin-Tiny | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 14.5 ms | 0 - 240 MB | NPU
98
+ | Swin-Tiny | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 9.025 ms | 1 - 4 MB | NPU
99
+ | Swin-Tiny | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 21.244 ms | 1 - 175 MB | NPU
100
+ | Swin-Tiny | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 9.105 ms | 1 - 172 MB | NPU
101
+ | Swin-Tiny | QNN_DLC | float | Qualcomm® SA8775P | 10.41 ms | 1 - 435 MB | NPU
102
+ | Swin-Tiny | QNN_DLC | float | Qualcomm® SA8650P | 10.41 ms | 1 - 435 MB | NPU
103
+ | Swin-Tiny | QNN_DLC | float | Qualcomm® SA8255P | 10.41 ms | 1 - 435 MB | NPU
104
+ | Swin-Tiny | QNN_DLC | float | Qualcomm® QCS8450 | 14.5 ms | 0 - 240 MB | NPU
105
+ | Swin-Tiny | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 10.262 ms | 3 - 5 MB | NPU
106
+ | Swin-Tiny | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 9.856 ms | 1 - 1 MB | NPU
107
+ | Swin-Tiny | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 4.514 ms | 0 - 415 MB | NPU
108
+ | Swin-Tiny | QNN_DLC | float | Qualcomm® SA7255P | 21.244 ms | 1 - 175 MB | NPU
109
+ | Swin-Tiny | QNN_DLC | float | Qualcomm® SA8295P | 13.831 ms | 0 - 433 MB | NPU
110
+ | Swin-Tiny | QNN_DLC | float | Snapdragon® 8 Elite Mobile | 4.514 ms | 0 - 415 MB | NPU
111
+ | Swin-Tiny | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 3.775 ms | 1 - 415 MB | NPU
112
+ | Swin-Tiny | QNN_DLC | w8a16 | Snapdragon® X2 Elite | 4.412 ms | 0 - 0 MB | NPU
113
+ | Swin-Tiny | QNN_DLC | w8a16 | Snapdragon® X Elite | 10.98 ms | 0 - 0 MB | NPU
114
+ | Swin-Tiny | QNN_DLC | w8a16 | Snapdragon® 8 Gen 3 Mobile | 6.597 ms | 0 - 508 MB | NPU
115
+ | Swin-Tiny | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-8275 | 8.838 ms | 0 - 3 MB | NPU
116
+ | Swin-Tiny | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-8275 | 17.784 ms | 0 - 437 MB | NPU
117
+ | Swin-Tiny | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 10.201 ms | 0 - 3 MB | NPU
118
+ | Swin-Tiny | QNN_DLC | w8a16 | Qualcomm® SA8775P | 10.654 ms | 0 - 443 MB | NPU
119
+ | Swin-Tiny | QNN_DLC | w8a16 | Qualcomm® SA8650P | 10.654 ms | 0 - 443 MB | NPU
120
+ | Swin-Tiny | QNN_DLC | w8a16 | Qualcomm® SA8255P | 10.654 ms | 0 - 443 MB | NPU
121
+ | Swin-Tiny | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-9075 | 10.513 ms | 0 - 2 MB | NPU
122
+ | Swin-Tiny | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-X7181 | 10.98 ms | 0 - 0 MB | NPU
123
+ | Swin-Tiny | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-6690 | 40.504 ms | 0 - 430 MB | NPU
124
+ | Swin-Tiny | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-7790 | 10.643 ms | 0 - 434 MB | NPU
125
+ | Swin-Tiny | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-8750 | 4.892 ms | 0 - 430 MB | NPU
126
+ | Swin-Tiny | QNN_DLC | w8a16 | Qualcomm® SA7255P | 17.784 ms | 0 - 437 MB | NPU
127
+ | Swin-Tiny | QNN_DLC | w8a16 | Snapdragon® 8 Elite Mobile | 4.892 ms | 0 - 430 MB | NPU
128
+ | Swin-Tiny | QNN_DLC | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 3.891 ms | 0 - 437 MB | NPU
129
+ | Swin-Tiny | QNN_DLC | w8a16 | Snapdragon® 7 Gen 4 Mobile | 10.643 ms | 0 - 434 MB | NPU
130
+ | Swin-Tiny | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 6.038 ms | 0 - 263 MB | NPU
131
+ | Swin-Tiny | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 14.287 ms | 0 - 257 MB | NPU
132
+ | Swin-Tiny | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 9.062 ms | 0 - 61 MB | NPU
133
+ | Swin-Tiny | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 21.19 ms | 0 - 200 MB | NPU
134
+ | Swin-Tiny | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 9.243 ms | 0 - 3 MB | NPU
135
+ | Swin-Tiny | TFLITE | float | Qualcomm® SA8775P | 10.413 ms | 0 - 201 MB | NPU
136
+ | Swin-Tiny | TFLITE | float | Qualcomm® SA8650P | 10.413 ms | 0 - 201 MB | NPU
137
+ | Swin-Tiny | TFLITE | float | Qualcomm® SA8255P | 10.413 ms | 0 - 201 MB | NPU
138
+ | Swin-Tiny | TFLITE | float | Qualcomm® QCS8450 | 14.287 ms | 0 - 257 MB | NPU
139
+ | Swin-Tiny | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 10.182 ms | 0 - 60 MB | NPU
140
+ | Swin-Tiny | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 4.649 ms | 0 - 206 MB | NPU
141
+ | Swin-Tiny | TFLITE | float | Qualcomm® SA7255P | 21.19 ms | 0 - 200 MB | NPU
142
+ | Swin-Tiny | TFLITE | float | Qualcomm® SA8295P | 13.855 ms | 0 - 199 MB | NPU
143
+ | Swin-Tiny | TFLITE | float | Snapdragon® 8 Elite Mobile | 4.649 ms | 0 - 206 MB | NPU
144
+ | Swin-Tiny | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 3.833 ms | 0 - 214 MB | NPU
145
 
146
  ## License
147
  * The license for the original implementation of Swin-Tiny can be found
release_assets.json CHANGED
@@ -1,5 +1,5 @@
1
  {
2
- "version": "0.60.0",
3
  "precisions": {
4
  "float": {
5
  "universal_assets": {
@@ -8,19 +8,19 @@
8
  "qairt": "2.45.0.260326154327",
9
  "onnx_runtime": "1.27.1"
10
  },
11
- "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/swin_tiny/releases/v0.60.0/swin_tiny-onnx-float.zip"
12
  },
13
  "qnn_dlc": {
14
  "tool_versions": {
15
  "qairt": "2.45.0.260326154327"
16
  },
17
- "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/swin_tiny/releases/v0.60.0/swin_tiny-qnn_dlc-float.zip"
18
  },
19
  "tflite": {
20
  "tool_versions": {
21
  "qairt": "2.45.0.260326154327"
22
  },
23
- "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/swin_tiny/releases/v0.60.0/swin_tiny-tflite-float.zip"
24
  }
25
  }
26
  },
@@ -31,13 +31,13 @@
31
  "qairt": "2.45.0.260326154327",
32
  "onnx_runtime": "1.27.1"
33
  },
34
- "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/swin_tiny/releases/v0.60.0/swin_tiny-onnx-w8a16.zip"
35
  },
36
  "qnn_dlc": {
37
  "tool_versions": {
38
  "qairt": "2.45.0.260326154327"
39
  },
40
- "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/swin_tiny/releases/v0.60.0/swin_tiny-qnn_dlc-w8a16.zip"
41
  }
42
  }
43
  }
 
1
  {
2
+ "version": "0.61.0",
3
  "precisions": {
4
  "float": {
5
  "universal_assets": {
 
8
  "qairt": "2.45.0.260326154327",
9
  "onnx_runtime": "1.27.1"
10
  },
11
+ "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/swin_tiny/releases/v0.61.0/swin_tiny-onnx-float.zip"
12
  },
13
  "qnn_dlc": {
14
  "tool_versions": {
15
  "qairt": "2.45.0.260326154327"
16
  },
17
+ "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/swin_tiny/releases/v0.61.0/swin_tiny-qnn_dlc-float.zip"
18
  },
19
  "tflite": {
20
  "tool_versions": {
21
  "qairt": "2.45.0.260326154327"
22
  },
23
+ "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/swin_tiny/releases/v0.61.0/swin_tiny-tflite-float.zip"
24
  }
25
  }
26
  },
 
31
  "qairt": "2.45.0.260326154327",
32
  "onnx_runtime": "1.27.1"
33
  },
34
+ "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/swin_tiny/releases/v0.61.0/swin_tiny-onnx-w8a16.zip"
35
  },
36
  "qnn_dlc": {
37
  "tool_versions": {
38
  "qairt": "2.45.0.260326154327"
39
  },
40
+ "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/swin_tiny/releases/v0.61.0/swin_tiny-qnn_dlc-w8a16.zip"
41
  }
42
  }
43
  }